Sign language serves as the primary mode of communication for the deaf community. With
technological advancements, it is crucial to develop systems capable of enhancing …

The accurate prediction of large-scale waves is of great significance for marine resource
assessment and ocean disaster prevention. In recent years, a new generation of wave …

Accurate prediction of wave characteristics of large-scale waves is of great significance for
ocean disaster prevention and ship** safety. The traditional method is mainly based on …

Hand gesture plays an important role in communication among the hearing and speech
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …

A novel convolutional neural network-long short-term memory (CNN-LSTM) model is
proposed for wave height prediction. The model effectively extracts relevant features such as …

Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …

In this paper, we develop four spiking neural network (SNN) models for two static American
sign language (ASL) hand gesture classification tasks, ie, the ASL alphabet and ASL digits …

In image fusion, several images are combined into one image that contains information from
all input images. In medical image analysis, image fusion can help to improve the accuracy …

The growing number of deaf and hearing-impaired populations and the evolution of vision-
based application devices present enormous opportunities for research and modelling in the …

With high flexibility and rich semantic expressiveness, mid-air gesture interaction is an
important part of natural human-computer interaction (HCI) and has broad application …